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Also there was one prediction model applied, where as with more tested they could have found that a different model generated better results with less error across the US and within the tested region.
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The performance in the other years substantiates the assertion that the GMDH model generates better results, and so, this became the preferred model.
Airflow network model generates better results for openings on the south and east facade and internal openings, where there is no immediate adjacent building.
We chose to use LCALC descriptors as an example, because when compared to other descriptor sets it generated better models (results not shown).
We chose to use two dimensional MOE descriptors as an example, because when compared to other descriptor sets it generated better models (results not shown).
We chose to use PipelinePilotFP, because when compared to other descriptor sets it generated better models (results not shown).
The study of retinoblastoma in patients, cell lines and animal models has not only generated better diagnosis and treatment strategies, but also fostered numerous discoveries regarding the basic principles of cancer [4, 5].
As this is the only multi category dataset, we chose to use two sets of descriptors (PipelinePilotFP and QuickProp), because when compared to other descriptor sets they generated better models (results not shown).
The 3D simulation with digital samples generated better prediction than the 2D models.
Experimental results demonstrate that the proposed model can generate better segmentation results for textile images than classical FMF based models.
A likelihood-ratio test was used to determine whether the additive-dominance model generated a significantly better fit than the simple additive model.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com